Top Tech Jobs & Startup Jobs

Owns product messaging, brand tone of voice, microcopy, and global content marketing campaigns. The role develops conversion-focused content across websites, email, and other channels; collaborates with writers, designers, web, social, and customer engagement teams; manages agencies and vendors; and analyzes content performance to optimize campaigns and messaging.

Design mobile content-discovery experiences used by millions through Taboola News. Own a product area end to end, from concepts and prototypes through development and launch, while partnering with Product, Engineering, Data, and OEM teams. Conduct user research and usability testing, apply qualitative and quantitative insights, and iterate after launch to improve engagement, retention, and business outcomes.

Lead the technical direction of a large-scale data platform supporting reporting, billing, machine learning, experimentation, and business decisions. Design and operate distributed systems using Spark, Iceberg, Kafka, and StarRocks; improve reliability, performance, cost, and observability; mentor engineers; guide architecture and roadmaps; and remain hands-on with production code, prototypes, incident response, and cross-functional technical leadership.

Own the technical success of enterprise publisher accounts from discovery and implementation through optimization and growth. Lead integrations, QA, onboarding, troubleshooting, performance audits, technical support, and escalations. Analyze RPM and CTR data, deliver quarterly business reviews, recommend revenue improvements, and collaborate with Sales, Product, and R&D. Manage publisher relationships, compliance, account records, and opportunities to expand adoption and revenue.

Provides expert-level technical support for advertiser products, investigating complex cases, escalating issues, analyzing operational data, mentoring support teams, creating training and knowledge materials, and partnering with Product, Engineering, Sales, and Account Management. Owns technical subject-matter expertise, supports automation and AI initiatives, identifies process and supportability gaps, and leads strategic projects related to advertiser technology.

Own the global ad formats portfolio and end-to-end ad creation, management, and workflow experiences across UI, APIs, and AI agents. Define product strategy and roadmaps, optimize formats through large-scale A/B testing, drive advertiser adoption, lead platform migrations, and collaborate with engineering, algorithms, bidding, quality, marketing, sales, and account teams. The role requires strong product management experience in B2B platforms, ad-tech or mar-tech expertise, technical fluency, and data-driven decision-making.

Design, deploy, evaluate, and maintain recommendation, ranking, personalization, and predictive behavior models for Taboola’s advertising platform. Build ML evaluation harnesses, automated testing frameworks, benchmarks, and guardrails. Develop data pipelines and transformations using Kafka, SQL, HDFS, Hadoop, Spark, and distributed big-data systems while collaborating with product and technical teams.

Leads and scales a global 300-person R&D organization across Israel and Eastern Europe. Owns technical vision, architecture, execution, reliability, scalability, and performance for core products and revenue systems. Partners with Product and senior leadership to prioritize growth initiatives, develops leadership pipelines, and drives engineering excellence across multidisciplinary teams of engineers, algorithm experts, and data scientists.

Own technical support for OEM and publisher partners, investigating revenue, inventory, ad-serving, tracking, feed-ingestion, and content-categorization issues. Use SQL, Kusto, BigQuery, monitoring tools, and AI tooling to diagnose production problems, build alerts and internal automation, support on-call incident response, and collaborate with R&D and Product on root-cause resolution.

Drive product strategy through data by defining KPIs, analyzing large datasets, designing A/B experiments, building dashboards and data models, and developing AI-powered analytics tools. Partner with Product, Engineering, and cross-functional teams to deliver actionable recommendations, enable self-service analytics, automate reporting, and improve analytical methodologies and product performance.